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Shyam Gadhai

dblp:227/8823 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0003-3536-9214ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation
constellation design
0.412020
Block-Based Spatial Modulation: Constellation Design and Low-Complexity Detection · IEEE Trans. Commun. 2020
Physical-layer communications › signal detection
low-complexity detection
0.412020
Block-Based Spatial Modulation: Constellation Design and Low-Complexity Detection · IEEE Trans. Commun. 2020
Physical-layer communications › MIMO
spatial modulation
0.412020
Block-Based Spatial Modulation: Constellation Design and Low-Complexity Detection · IEEE Trans. Commun. 2020

Methods — techniques the papers use, named apart from their topics

semidefinite relaxation · 0.4
YearPublicationVenuePosition
2020 Block-Based Spatial Modulation: Constellation Design and Low-Complexity Detection
abstract
Spatial modulation (SM) uses antenna indices to transmit information, along with modulation symbols. The conventional SM scheme fixes the number of active antennas, and consequently the number of transmit symbols, in a transmit vector to avoid detection ambiguity. This work proposes a generalized block-based spatial modulation (GBSM) scheme which varies the number of active antennas in each transmit vector, but fixes their number over a transmission block. The proposed GBSM scheme, which transmits information using the spatial dimensions created over a block of transmit vector, resolves detection ambiguity as the number of transmit symbols over a block remains fixed. It crucially also has a large constellation cardinality, which we exploit by proposing novel low bit error rate (BER) constellation design algorithms. We also propose a novel low-complexity semi-definite relaxation detector, which has similar BER as that of the optimal maximum likelihood detector but with ≈ 85% lower complexity.
Shyam Gadhai, Rohit Budhiraja
IEEE Trans. Commun.1